A bio-inspired two-scale complementarity evaluation method for image fusion. - Yanxiang Hu; Bo Zhang 101 (Int. J. Wavelets Multiresolution Inf. Process., 2017)

On the use of joint sparse representation for image fusion quality evaluation and analysis. - Yanxiang Hu; Qian Gao; Bo Zhang 101; Juntong Zhang (J. Vis. Commun. Image Represent., 2019)

Multi-focus image fusion evaluation based on jointly sparse representation and atom focus measure. - Yanxiang Hu; Bo Zhang 101; Juntong Zhang; Qian Gao (IET Image Process., 2021)

A feature-level full-reference image denoising quality assessment method based on joint sparse representation. - Yanxiang Hu; Bo Zhang 101; Ya Zhang; Chuan Jiang; Zhijie Chen (Appl. Intell., 2022)

A multi-focus image fusion method based on multi-source joint layering and convolutional sparse representation. - Yanxiang Hu; Zhijie Chen; Bo Zhang 101; Lifeng Ma; Jiaqi Li (IET Image Process., 2022)

A novel multivariable time series prediction model for acute kidney injury in general hospitalization. - Jie Xu 023; Yanxiang Hu; Heng Liu; Wenjun Mi; Guisen Li; Jinhong Guo; Yunlin Feng (Int. J. Medical Informatics, 2022)

A novel multi-focus image fusion method based on joint regularization optimization layering and sparse representation. - Yanxiang Hu; Bo Zhang 101; Ya Zhang; Zhijie Chen (Signal Process. Image Commun., 2022)

A new multi-focus image fusion method based on multi-classification focus learning and multi-scale decomposition. - Lifeng Ma; Yanxiang Hu; Bo Zhang 101; Jiaqi Li; Zhijie Chen; Wenhao Sun (Appl. Intell., 2023)

A new multi-focus image fusion quality assessment method with convolutional sparse representation. - Yanxiang Hu; Panpan Wu; Bo Zhang 101; Wenhao Sun; Yaru Gao; Caixia Hao; Xinran Chen (Vis. Comput., 2025)